Evidence map›Paper›PMID 29225216›Full record

ArticleIndustrial health2018

Depressive symptoms and risk of absence among workers in a manufacturing company: a 12-month follow-up study.

Dirga Kumar Lamichhane, Yong Seok Heo, Hwan Cheol Kim

Abstract read
In one paragraph

Article in Industrial health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Depression symptoms and risk of sick leave: a systematic review and meta-analysis.International archives of occupational and environmental health · 2021
    Pooled it
  3. Trial
  4. Article
  5. Review
  6. Do depressive symptoms influence nonattendance at work? A semiparametric approach.International journal of health economics and management · 2025
    Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dirga Kumar LamichhaneDepartment of Social and Preventive Medicine, School of Medicine, Inha University, Republic of Korea.
Yong Seok HeoDepartment of Occupational and Environmental Medicine, School of Medicine, Inha University, Republic of Korea.
Hwan Cheol KimDepartment of Occupational and Environmental Medicine, School of Medicine, Inha University, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a leading cause of reduced work ability and absence due to sickness. The objective of this study was to investigate how depressive symptoms are prospectively associated with subsequent absence, whether caused by illness or accidents, among manufacturing workers. This prospective study was conducted on 2,349 male and female employees that underwent a regular health examination at a university hospital. Depressive symptoms were measured at baseline using the Center for Epidemiologic Studies Depression (CES-D) Scale. Data on self-reported absence due to illness and accidents were obtained during a follow up of 1 yr. The incidences of sickness absence were 6.0% for men and 17.3% for women. Men and women with depressive symptoms (CES-D ≥16) were found to have higher odds of sickness absence during follow up (men: OR=4.06; 95% CI: 2.32-7.11; women: OR=1.75; 95% CI: 1.02-2.98), after adjustment for demographic and occupational factors. When depressive symptoms were divided into quartiles, significantly higher ORs of sickness absence were observed only among employees with the highest quartile of depressive symptoms. The study shows that depressive symptoms are a risk factor for future absence due to illness or accidents among manufacturing workers.

Indexed as

AccidentsAdultDepressionFemaleFollow-Up StudiesHumansMaleManufacturing IndustryMiddle AgedProspective StudiesRepublic of KoreaRisk FactorsSick LeaveSurveys and QuestionnairesAbsenceAccidentsDepressionIllnessKoreaManufacturing workers

Identifiers

PMID29225216
PMCPMC5985457

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.